Recommender systems: legal and ethical issues
In: The International Library of Ethics, Law and Technology 40
Chapter 1: Introduction: Understanding and Regulating Al-Powered Recommender systems -- Part I: Fairness and Transparency -- Chapter 2: Recommender Systems and Discrimination -- Chapter 3: From Algoritmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation -- Chapter 4: Black Hole instead of Black Box? - The Double Opaqueness of Recommender Systems on Gaming Platforms and its Legal Implications -- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems -- Part II: Manipulation and Personal Autonomy -- Chapter 6: Recommender Systems, Manipulation and Private Autonomy - How European civil law regulates and should regulate recommender systems for the benefit of private autonomy -- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy -- Chapter 8: Recommending Ourselves to Death: values in the age of algorithms -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation.